Discount Sensitive Recommender System for Retail Business
Masahiro Sato, Hidetaka Izumo, Takashi Sonoda · 2015
User preferences for items are not the only determinant of purchase. Price promotion influences user's buying habits and changes items that are put in a basket. Such a reaction to discount depends on the user personality. In this paper, we propose a recommendation algorithm with personalized discount sensitivity. The effectiveness of the proposed model was verified using a public retail dataset. Correlation between personal persistence in repeat purchases and discount sensitivity of users was also investigated.